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Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 159, in compute compute_split_names_from_info_response( File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 131, in compute_split_names_from_info_response config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config) File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 567, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 62, in _split_generators self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f)) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 2325, in read_schema file = ParquetFile( File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 318, in __init__ self.reader.open( File "pyarrow/_parquet.pyx", line 1482, in pyarrow._parquet.ParquetReader.open File "pyarrow/error.pxi", line 88, in pyarrow.lib.check_status File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow_hotfix/__init__.py", line 47, in __arrow_ext_deserialize__ raise RuntimeError( RuntimeError: Disallowed deserialization of 'arrow.py_extension_type': storage_type = list<item: list<item: list<item: uint8>>> serialized = b'\x80\x04\x95K\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array3DExtensionType\x94\x93\x94K@K@K\x03\x87\x94\x8c\x05uint8\x94\x86\x94R\x94.' pickle disassembly: 0: \x80 PROTO 4 2: \x95 FRAME 75 11: \x8c SHORT_BINUNICODE 'datasets.features.features' 39: \x94 MEMOIZE (as 0) 40: \x8c SHORT_BINUNICODE 'Array3DExtensionType' 62: \x94 MEMOIZE (as 1) 63: \x93 STACK_GLOBAL 64: \x94 MEMOIZE (as 2) 65: K BININT1 64 67: K BININT1 64 69: K BININT1 3 71: \x87 TUPLE3 72: \x94 MEMOIZE (as 3) 73: \x8c SHORT_BINUNICODE 'uint8' 80: \x94 MEMOIZE (as 4) 81: \x86 TUPLE2 82: \x94 MEMOIZE (as 5) 83: R REDUCE 84: \x94 MEMOIZE (as 6) 85: . STOP highest protocol among opcodes = 4 Reading of untrusted Parquet or Feather files with a PyExtensionType column allows arbitrary code execution. If you trust this file, you can enable reading the extension type by one of: - upgrading to pyarrow >= 14.0.1, and call `pa.PyExtensionType.set_auto_load(True)` - disable this error by running `import pyarrow_hotfix; pyarrow_hotfix.uninstall()` We strongly recommend updating your Parquet/Feather files to use extension types derived from `pyarrow.ExtensionType` instead, and register this type explicitly. See https://arrow.apache.org/docs/dev/python/extending_types.html#defining-extension-types-user-defined-types for more details. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 75, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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This is an upload of imagenet_resized/64x64
from tensorflow datasets, (but shuffled before uploading).
The homepage of imagenet_resized is: https://patrykchrabaszcz.github.io/Imagenet32/
imagenet_resized is a derivative of imagenet (and also available to download from there): https://image-net.org/index.php
Warning: The integer labels used are defined by the authors and do not match those from the other ImageNet datasets provided by Tensorflow datasets. See the original label list, and the labels used by this dataset. Additionally, the original authors 1 index there labels which we convert to 0 indexed by subtracting one.
— From the tensorflow datasets page.
The data in this dataset is of the format:
{
"image": Array3D(shape=(64, 64, 3), dtype="uint8"),
"label": Value(dtype="int32"),
}
- There are 1,281,167 samples in the train split.
- There are 50,000 samples in the validation split.
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